A Primer on Regression Artifacts

Overview

Regression toward the mean is a complex statistical principle that plays a crucial role in any research involving the measurement of change. This primer is designed to help researchers more fully understand this phenomenon and avoid common errors in interpretation. The book presents new methods of graphing regression toward the mean, facilitating comprehension with a wealth of figures and diagrams. Special attention is given to applications related to program or treatment evaluation. Numerous concrete examples ...
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Overview

Regression toward the mean is a complex statistical principle that plays a crucial role in any research involving the measurement of change. This primer is designed to help researchers more fully understand this phenomenon and avoid common errors in interpretation. The book presents new methods of graphing regression toward the mean, facilitating comprehension with a wealth of figures and diagrams. Special attention is given to applications related to program or treatment evaluation. Numerous concrete examples illustrate the ways researchers all too often attribute effects to an intervention or other causal variable without considering regression artifacts as an alternative explanation for change. Also discussed are instances when problems are actually created, instead of solved, by "correction" for regression toward the mean. Throughout, the authors strive to use nontechnical language and to keep simulations and formulas as accessible as possible.
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Editorial Reviews

Readings

"All mental health researchers must read this book, which definitely explores a vital topic. It is a magnificent concluding collaboration between Kenny and the late Campbell, the 20th century's foremost behavioral science methodologist."--Readings
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Product Details

  • ISBN-13: 9781572308596
  • Publisher: Guilford Publications, Inc.
  • Publication date: 11/27/2002
  • Series: Methodology In The Social Sciences
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 202
  • Product dimensions: 5.90 (w) x 8.90 (h) x 0.70 (d)

Table of Contents


1. Graphical Introduction
2. Mathematics and Special Cases
3. Regression Artifacts Due to Extreme Group Selection
4. Regression Artifacts Due to Matching
5. Regression Artifacts Due to Statistical "Equating"
6. Regression Artifacts in Change Scores
7. Regression Artifacts in Time-Series Studies
8. Regression Artifacts in Longitudinal Studies
9. Cross-Lagged Panel Correlation Analysis
10. Conclusion

• Glossary of Terms

• Glossary of Symbols

• Appendix A: Dice-Rolling Program and Data Sets Used as Illustrations

• Appendix B: The Computation of Autocorrelations

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